Introduction to Fieldwork and Data Collection - SAPX4110

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Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2026 to 2027
Canterbury
Summer Term 4 20 (10) David Garbin checkmark-circle

Overview

How do you ensure the data you use is relevant and important to the questions you aim to answer? One way is to collect data yourself. But basing decisions on inaccurate data can have far-reaching negative consequences, so it's important to be able to trust your own data collection procedures and abilities. Data collection is the methodological process of gathering information about a specific subject. It’s crucial to ensure your data is complete during the collection phase and that it’s collected legally and ethically. So, you’ll discover what you need to know before you begin collecting, and a breakdown of the data collection methods you might use. At the end, you’ll be able to identify which data collection methods are the most appropriate to meet different types of research objectives. You’ll also be able to design data collection tools such as interview questions, focus groups, surveys, and observing people in their natural settings.

Details

Contact hours

Class 8

Workshop 5

Independent Study 7

Assessment Preparation 50 

'On-the-job' training hours (work-based experience) -130

Total hours:- 200 hours

Availability

Available ONLY for the BA (Hons) Applied Social Research (Social Researcher) as a compulsory module

Method of assessment

Assessment methods:

Written-Reflection -Reflection piece on research design -1,500 words -Covers Module learning outcome (1, 2, 3, 4, 5, 6) -80% Weighting- This Assessment is Pass Compulsory

Written -Test -Online multiple choice (15 questions)- Covers Module learning outcome (1, 3, 5) -20% Weighting

Reassessment methods: Like-for-like

Indicative reading

The University is committed to ensuring that core reading materials are in accessible electronic format in line with the Kent Inclusive Practices.

The most up to date reading list for each module can be found on the university's reading list pages.

Learning outcomes

On successfully completing the module, students will be able to: 

1. Interpret research objectives and recommend which data collection methods are the most appropriate to meet objectives. (Maps to S1 of the occupational standard).

2. Design data collection tools such as topic guides and questionnaires. (Maps to K6, S3 and S4 of the occupational standard).

3. Identify techniques for engaging with under-represented groups whose views are less likely to be heard by decision-makers. (Maps to B5 of the occupational standard).

4. Identify digital tools and software for fieldwork. (Maps to K19 of the occupational standard).

5. Explain types of bias in data collection and how to identify and avoid them. (Maps to K4 of the occupational standard).

6. Apply principles of quality assurance and checks to avoid data errors in data collection. (Maps to S6 of the occupational standard).

Notes

  1. Credit level 4. Certificate level module usually taken in the first stage of an undergraduate degree.
  2. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
  3. The named convenor is the convenor for the current academic session.
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